In-Situ statistical analysis of plume dispersion simulations

Yano, Midori; Kawamura, Takuma; Hasegawa, Yuta; Idomura, Yasuhiro

no journal, , 

Visualizing a large amount of ensemble data and time series data generated from extreme scale simulations is difficult because of limitations on the performance of data I/O, data transfer, and visualization. In-Situ visualization techniques that visualize simulations at runtime are promising solutions for this problem. This study proposes an in-situ statistical analysis method, applies it to time-series data of a real-time plume dispersion simulation, and analyzes winds and concentration statistically using a scatter plot and glyph in a target 3D space. Users can map statistical data to glyph design and visualize statistical properties of the simulation interactively.